Learning biases for the evolution of linguistic structure: An associative network model

Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science)

Volumn 2801, Issue , 2003, Pages 517-524

  Smith, Kenny ^a  

^a UNIVERSITY OF EDINBURGH   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

COMPOSITIONAL STRUCTURE; CULTURAL TRANSMISSION; LANGUAGE LEARNERS; LINGUISTIC STRUCTURES; ASSOCIATIVE NETWORK; LINGUISTIC STRUCTURE;

LINGUISTICS; MATHEMATICAL MODELS; PRESSURE EFFECTS; SOCIAL ASPECTS;

ARTIFICIAL INTELLIGENCE; COMPUTATIONAL LINGUISTICS;

EID: 7444260674     PISSN: 03029743     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1007/978-3-540-39432-7_55     Document Type: Conference Paper

References (7)

1. H. Brighton. Experiments in iterated instance-based learning. Technical report, Language Evolution and Computation Research Unit, 2000.
2. H. Brighton. Compositional syntax from cultural transmission. Artificial Life, 8(1):25-54, 2002.
3. S. Kirby. Syntax out of learning: the cultural evolution of structured communication in a population of induction algorithms. In D. Floreano, J. D. Nicoud, and F. Mondada, editors, Advances in Artificial Life: Proceedings of the 5th European Conference on Artificial Life. Springer, Berlin, 1999.
4. S. Kirby. Natural Language from Artificial Life. Artificial Life, 8(2):185-215, 2002.
5. K. Smith. Compositionality from culture: the role of environment structure and learning bias. Technical report, Language Evolution and Computation Research Unit, 2002.
6. K. Smith. The cultural evolution of communication in a population of neural networks. Connection Science, 14(1):65-84, 2002.
7. K. Smith. Learning biases and language evolution. In Proceedings of the 15th European Summer School on Logic, Language and Information. forthcoming.